dc.contributor.advisor | Alam, Md. Golam Rabiul | |
dc.contributor.advisor | Roy, Shaily | |
dc.contributor.author | Al Taawab, Abdullah | |
dc.contributor.author | Rahman, Mahfuzzur | |
dc.contributor.author | Islam, Zawadul | |
dc.contributor.author | Mustari, Nafisa | |
dc.date.accessioned | 2022-09-14T05:21:26Z | |
dc.date.available | 2022-09-14T05:21:26Z | |
dc.date.copyright | 2022 | |
dc.date.issued | 2022-05 | |
dc.identifier.other | ID: 20341043 | |
dc.identifier.other | ID: 18101485 | |
dc.identifier.other | ID: 18101005 | |
dc.identifier.other | ID: 19101086 | |
dc.identifier.uri | http://hdl.handle.net/10361/17215 | |
dc.description | This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2022. | en_US |
dc.description | Cataloged from PDF version of thesis. | |
dc.description | Includes bibliographical references (pages 37-39). | |
dc.description.abstract | Uprising a child is a psychological construct of parents, which is a combination of
factors that evolves over time with the growth and development of the child. Parent ing style represents a set of strategies that have diverse influences on children. These
approaches can create depressive symptoms in children’s minds, which can last even
if they become adolescents. Moreover, these indications may affect their level of self confidence. In this research, supervised learning models are used to detect different
parenting styles, depression indications of adolescents due to parenting and the level
of their self-esteem. Due to the absence of publicly available data, we created our
own data set of about 500 survey responses. Additionally, eleven psychological and
nine linguistic attributes of Linguistic Inquiry and Word Count (LIWC) have been
used to identify depression indications. Among all the supervised models, the Lo gistic Regression (LR), Gradient Boost Classifier (GBC) and Bi-Directional LSTM
(Bi-LSTM) provide better results than other models. This research is capable of
helping the parents to know their children’s psychology in a better way and make
them have a more profound discussion on practical life. | en_US |
dc.description.statementofresponsibility | Abdullah Al Taawab | |
dc.description.statementofresponsibility | Mahfuzzur Rahman | |
dc.description.statementofresponsibility | Zawadul Islam | |
dc.description.statementofresponsibility | Nafisa Mustari | |
dc.format.extent | 39 Pages | |
dc.language.iso | en_US | en_US |
dc.publisher | Brac University | en_US |
dc.rights | Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. | |
dc.subject | Machine Learning | en_US |
dc.subject | Deep Learning | en_US |
dc.subject | LIWC | en_US |
dc.subject | NLP | en_US |
dc.subject | Depression | en_US |
dc.subject | Parenting style | en_US |
dc.subject | Self Esteem | en_US |
dc.subject.lcsh | Parenting. | |
dc.subject.lcsh | Machine learning. | |
dc.title | Detecting self-esteem level and depressive indication due to different parenting style using supervised learning techniques | en_US |
dc.type | Thesis | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | B. Computer Science | |